- π B.Tech in Computer Science & Engineering (Data Science) β Dwarkadas J. Sanghvi College of Engineering, Mumbai
- π¬ Research Intern @ IIT Bombay Working on multi-hazard early warning systems, combining IoT sensing, real-time data pipelines (Kafka, Flink), and deep learning for disaster prediction & nowcasting.
- π₯ Chairperson β DJS S4DS & Vice President β DJS MUNSOC Leading and mentoring 200+ students in data science and applied AI, while driving organizational initiatives.
- π» Full Stack Developer (MERN + FastAPI) & AI/ML Practitioner Focused on computer vision, deep learning, generative AI, and building secure, distributed systems.
- π 3Γ Hackathon Winner Including a victory at the Impact Metrics IIT BHU hackathon. Passionate about shipping fast, iterating with data, and building robust platforms under pressure.
- π§ͺ Collaborative side projects: - ARFL Platform: A privacy-preserving, Byzantine-resilient Federated Learning system.
- EEG/EMG-based Hunger Detection System.
- π± Currently learning: Streaming analytics, neuromorphic computing, and 3D web rendering (Three.js).
- π¬ Ask me about: AI/ML pipelines, full-stack system design, securing federated learning, or running a tech community.
- π« Reach me at: LinkedIn Β· Email
- π§ AI / ML & GenAI β PyTorch, TensorFlow, scikit-learn, OpenCV, end-to-end ML pipelines.
- π Secure Distributed Learning β Federated learning architectures, anomaly detection, and Byzantine fault tolerance.
- π Frontend Engineering β React, Next.js, Three.js, TypeScript, Tailwind, performance-oriented UI.
- βοΈ Backend APIs β Node.js, Express, FastAPI; containerized, tested, and scalable services.
- π¬ Applied Research β IoT sensor networks, predictive analytics, disaster nowcasting.
- π Developer Experience β Git, GitHub Actions, Docker, Postman, Vercel deployments.
| Area | Impact |
|---|---|
| π‘οΈ ARFL Platform (Byzantine-Resilient FL) | Engineered a privacy-preserving Federated Learning system focused on security. Implemented 2 client-side defense layers to prevent malicious nodes from sending poisoned gradients and weights. |
| π Multi-Hazard Early Warning Systems @ IIT Bombay | IoT sensor networks + Kafka/Flink pipelines + deep learning for real-time disaster prediction & community alerting. |
| π§ EEG/EMG Hunger Detection | Biosignal-driven ML pipeline for inferring hunger states from neural & muscular signals. |
| π₯ Student Leadership | Chairperson @ DJS S4DS & Vice President @ DJS MUNSOC. Mentoring 200+ students; organizing workshops, hackathons & speaker series. |
| π 3Γ Hackathon Winner | Shipped end-to-end products under high-pressure constraints, including top honors at Impact Metrics IIT BHU. |
| π Full-Stack Products | Deployed multiple MERN + FastAPI applications with CI/CD, containerization & cloud architecture. |

